OlaPurse
Honor Your MoneyBudgeting and money tracking that stays on your device — built so your financial data is yours by architecture, not by promise.
// data analyst · healthcare analytics · business & product · toronto, on
I turn messy data into
decisions teams can trust.
Data analyst with a Master of Professional Studies in Analytics (Co-op) from Northeastern University and 5+ years working with healthcare and public-health data. I specialize in data quality, reporting and BI — validating data, automating recurring reports and building dashboards people actually use.
SELECTED RESULTS
from my past roles
Data accuracy across clinical datasets99%+
Reduction in manual reporting time−35%
Fewer data errors via automation−40%
Years in data & health informatics5+
Results from my roles at APIN, ECEWS and MTN Nigeria — details under Experience.
// 01 · about
The work that makes analytics dependable
I'm a data analyst with a Master of Professional Studies in Analytics (Co-op) from Northeastern University, a B.Sc. in Computer Science, and 5+ years working with data in healthcare and public-health settings.
My focus is the work that makes analytics trustworthy: validating data, building quality-assurance processes, and turning large, complex datasets into clean reports and dashboards people actually use. I work hands-on in SQL, Python and R, build dashboards in Power BI and Tableau, and care as much about clear communication as about the analysis itself.
My background spans national HIV/AIDS program reporting, EMR data quality and telecom KPI analytics in Nigeria, plus graduate training in machine learning and predictive analytics in Toronto. Alongside that, I design, build and run my own software as the founder of AFOLAOLA — a privacy-first product studio with six live products — and handle the business side too: brand and positioning, launches, search visibility, pricing and billing setup. It keeps me close to what makes data useful: start from the decision someone needs to make, then make the data behind it trustworthy.
LOCATIONToronto, ON, Canada
FOCUSHealthcare Analytics · Data Quality · Reporting & BI · Health Informatics
EDUCATIONMPS Analytics (Co-op) · B.Sc. Computer Science
ALSOFounder, AFOLAOLA — product, business & brand
STATUSOpen to opportunities
// 02 · toolkit
Tools & practices
LANGUAGES & QUERY
BI & REPORTING
DATA QUALITY & GOVERNANCE
HEALTH INFORMATICS
ML & STATISTICS
PLATFORMS & BUILD
BUSINESS & PRODUCT
// 03 · experience
Where I've done the work
01
Founder & Sole Developer — AFOLAOLAPrivacy-first product studio · Toronto, ON
PRODUCT · BUSINESS · FULL-STACK BUILD · TRUST | 2025 – PRESENT | SEE THE PRODUCTS ↓
- Designed, built and launched six live products — OlaPurse, OlaTime, OlaHours, OlaOrder, FindOja and OlaRemote — on one shared design language and privacy-first standard, with two more (OlaInventory, OlaMaintain) in development.
- Shipped OlaOrder, a no-code order-management platform with multi-currency support, buyer reviews and live checkout, and FindOja, a free public discovery layer for its businesses.
- Built installable, offline-capable PWAs with optional cloud sync and a shared five-language interface (English, French, Spanish, Chinese, Yorùbá).
- Run the full build lifecycle solo — product definition, UX, front end, Supabase and Firebase back ends and Vercel deployment — with versioned releases, regression tests (68+ assertions on OlaTime) and accessibility audits.
- Own the business side end to end: brand and positioning, landing pages and search visibility (Google Search Console), product marketing and video, pricing and billing setup, and trust documentation (privacy, terms, brand-use policy).
02
Data Analyst (Contract) — MTN NigeriaLagos, Nigeria
REPORTING AUTOMATION · KPI ANALYTICS · DASHBOARDS | APR 2023 – DEC 2023
- Led a team of three analysts, coordinating collection, validation and reporting of large datasets and running requirements-gathering sessions with product and engineering teams.
- Built KPI dashboards and reports in Power BI, Excel, R and Python and automated recurring workflows, cutting manual reporting time by 35%.
- Translated business questions into KPI insights for senior stakeholders; analysis of customer-usage data identified service bottlenecks, contributing to a 12% improvement in customer-satisfaction scores.
03
Health Informatics Assistant — ECEWSExcellence Community Education Welfare Scheme · Osun, Nigeria
HEALTHCARE DATA · EMR VALIDATION · QUALITY ASSURANCE | OCT 2022 – DEC 2023
- Maintained clinical datasets within national data-governance and validation frameworks, sustaining 99%+ reporting accuracy to the National Data Repository across HIV/AIDS and primary-care programs.
- Analyzed patient-visit data to surface cancellation and no-show trends and monitored viral-load suppression, supporting a 15% reduction in missed appointments within three months through targeted reminders.
- Applied SQL-based validation and QA processes that improved EMR data integrity, and trained and supported staff on EMR systems, improving data-entry accuracy by 20%.
- Developed SOPs and data-governance documentation to standardize clinical data collection across multiple facilities.
04
Data Entry Assistant — APIN Public Health InitiativesOyo, Nigeria
DATA QUALITY · RECONCILIATION · REPORTING | MAR 2018 – SEP 2022
- Managed longitudinal HIV/AIDS program data across multiple facilities for 4.5 years — registrations, discontinuations and transfers — maintaining 99% accuracy across all monthly national reporting submissions.
- Reconciled multi-source HIV/AIDS datasets using SQL, in line with strict health-data quality and governance standards.
- Built an automated Excel KPI and validation tool that flagged data gaps and reduced manual errors by 40% across facilities.
- Produced regular status and summary reports and kept records audit-ready.
// 04 · products
What I've built — AFOLAOLA
AFOLAOLA is the privacy-first product studio I founded, built on one idea — Honor What Matters. Six products are live today, each on its own domain; two more are on the way. Visit afolaola.com ↗
LIVE
OlaTime
Honor Your TimeScheduling and reliability tooling for clinics, campuses, and small teams — honest about progress, not just busy-looking.
OlaHours
Honor Your HoursA branch of OlaPurse and OlaTime
Track the hours you work, follow your pay periods and keep your records — free, on your device, and always labeled as an estimate.
OlaOrder
Honor Your OrdersA privacy-first, no-code storefront for any seller: list products and services, take orders and message buyers directly, with no marketplace commission.
Discover businesses. Find what you need. Visit the store.FindOja
Honor Your SearchA branch of OlaOrder
Public discovery for OlaOrder sellers: discover businesses, find what you need, then visit the store. Free to list; it never handles orders or payments.
Connect. Control. Relax.OlaRemote
Honor Your ComfortYour phone, your TV, one simple remote — free, with no ads and no account, and your remotes stay on your phone. Tested on a Roku TV; other brands are still being tested.
COMING SOONOlaInventoryHonor Your InventoryRole-based inventory and stock tracking for small and medium businesses.
COMING SOONOlaMaintainHonor Your UpkeepMaintenance and service management — estimates, invoices and a customer portal.
Screenshots are taken from each product's own landing page and show sample data.
// 05 · analytics projects
Things I've analyzed & modelled
ACADEMIC healthcare ML · Streamlit · methods demo on proxy data
Clinical Risk Classification Dashboard
An end-to-end classification workflow built as a readmission-risk template. It compares Logistic Regression and Random Forest with full evaluation — ROC AUC, precision, recall, F1, confusion matrix and feature importance — and wraps the results in an interactive Streamlit dashboard where you filter by age and sex, tune model settings live and read per-patient risk scores.
The data, stated plainly: real readmission records are restricted patient data, so this uses a public heart-disease dataset as a stand-in outcome (the dashboard says so too). It demonstrates the workflow, not real readmission performance. ROC AUC was 0.93 (logistic regression) and 0.91 (random forest) on an 81-patient test set — small enough that I treat it as a workflow check, not a benchmark.
With real readmission data I would add: a time-based split and leakage review (no post-discharge fields), a simple baseline such as the LACE index to beat, calibration and a threshold chosen around the cost of a missed readmission, subgroup performance checks, and privacy sign-off under PHIPA.
public health · reporting · academic
Public-Health Trend Analysis & Dashboards
Analyzed public-health datasets — HIV/AIDS trends (2007–2016) in R, COVID-19 case and vaccine dashboards in R and Power BI, and demographic health dashboards in Tableau — producing response curves, trend reports and visual summaries for stakeholder review.
forecasting · optimization · academic
Demand Forecasting & Inventory Optimization
Developed ARIMA time-series forecasts and an optimization model balancing holding costs against availability — reducing holding costs by 15% for a mid-sized manufacturer.
data quality · automation · from my role at APIN
Automated Data-Quality Tool
Designed an automated Excel tool to validate, flag and consolidate data across multiple facilities — catching gaps and inconsistencies before reporting and reducing errors by 40%.
more academic projects · 2024–2025
Machine Learning & Forecasting
- Patient risk-scoring dashboard in R Shiny, deployed on AWS.
- Heart-disease classification with a tuned SVM in R.
- Loan-default prediction (XGBoost, neural networks) and ARIMA / exponential-smoothing forecasts for AAPL and HON.
// 06 · credentials
Education & certifications
EDUCATION
Master of Professional Studies in Analytics (Co-op)
Applied Machine Intelligence · GPA 3.70 / 4.0
NORTHEASTERN UNIVERSITY, TORONTO · MAY 2026
Coursework: Data Mining, Predictive Analytics, Machine Learning, Big Data Tools, Statistical Modelling, Epidemiological Data Analysis.
B.Sc. Computer Science
GPA 3.50 / 4.0
NATIONAL OPEN UNIVERSITY OF NIGERIA · 2017
CERTIFICATIONS
Databricks Fundamentals
Databricks Academy Accreditation · 2025
CREDENTIAL ID 164863890